Reinforcement learning methods for computation offloading: a systematic review
Z Zabihi, AM Eftekhari Moghadam… - ACM Computing …, 2023 - dl.acm.org
Today, cloud computation offloading may not be an appropriate solution for delay-sensitive
applications due to the long distance between end-devices and remote datacenters. In …
applications due to the long distance between end-devices and remote datacenters. In …
Federated-learning-based anomaly detection for IoT security attacks
The Internet of Things (IoT) is made up of billions of physical devices connected to the
Internet via networks that perform tasks independently with less human intervention. Such …
Internet via networks that perform tasks independently with less human intervention. Such …
Energy aware resource optimization using unified metaheuristic optimization algorithm allocation for cloud computing environment
In recent times, cloud computing (CC) has rapidly emerged as an effective framework for
offering IT infrastructure, resources, and services on a pay-per-use basis. An extensive …
offering IT infrastructure, resources, and services on a pay-per-use basis. An extensive …
A DRL-based service offloading approach using DAG for edge computational orchestration
Edge infrastructure and Industry 4.0 required services are offered by edge-servers (ESs)
with different computation capabilities to run social application's workload based on a …
with different computation capabilities to run social application's workload based on a …
An adaptive energy aware DTN-based communication layer for cyber-physical systems
Cyber-physical systems (CPS) can significantly transform our daily lives as it is an emerging
area for future innovative services. CPS have the inherent features and benefits of using …
area for future innovative services. CPS have the inherent features and benefits of using …
ASXC Approach: A Service-X Cost Optimization Strategy Based on Edge Orchestration for IIoT
Most computation-intensive industry applications and servers encounter service-reliability
challenges due to the limited resource capability of the edge. Achieving quality data fusion …
challenges due to the limited resource capability of the edge. Achieving quality data fusion …
Game of drones: Intelligent online decision making of Multi-UAV confrontation
D Liu, Q Zong, X Zhang, R Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Due to the characteristics of the small size and low cost of unmanned aerial vehicles (UAVs),
Multi-UAV confrontation will play an important role in future wars. The Multi-UAV …
Multi-UAV confrontation will play an important role in future wars. The Multi-UAV …
Deep learning‐influenced joint vehicle‐to‐infrastructure and vehicle‐to‐vehicle communication approach for internet of vehicles
The internet of vehicle (IoV) orchestration is an emerging technology in heterogeneous
vehicles to contrivance diverse intelligent transportation applications. The roadside unit …
vehicles to contrivance diverse intelligent transportation applications. The roadside unit …
Deep-Deterministic-Policy-Gradient-Based Task Offloading With Optimized K-Means in Edge-Computing-Enabled IoMT Cyber-Physical Systems
In recent years, the Internet of Medical Things (IoMT) is expanding its value as a key
enabling technology for smart medical cyber-physical systems. In order to overcome the …
enabling technology for smart medical cyber-physical systems. In order to overcome the …
[HTML][HTML] Secure and reliable computation offloading in blockchain-assisted cyber-physical IoT systems
With the development of the Cyber-Physical Internet of Things System (CPIoTS), the number
of Cyber-Physical System (CPS) applications accessed in networks has increased …
of Cyber-Physical System (CPS) applications accessed in networks has increased …